Evidence map›Paper›PMID 30324392›Full record

ArticleEuropean radiology2019

Prospective evaluation of ultra-low-dose contrast-enhanced 100-kV abdominal computed tomography with tin filter: effect on radiation dose reduction and image quality with a third-generation dual-source CT system.

Pierre Leyendecker, Vanina Faucher, Aissam Labani, Vincent Noblet, François Lefebvre, Paul Magotteaux, Mickaël Ohana, Catherine Roy

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Pierre LeyendeckerService de Radiologie B, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, 1, place de l'hôpital, BP 426, 67091, Strasbourg Cedex, France. pierre.leyendecker@chru-strasbourg.fr.ORCID http://orcid.org/0000-0001-6415-5907
Vanina FaucherService de Radiologie B, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, 1, place de l'hôpital, BP 426, 67091, Strasbourg Cedex, France.
Aissam LabaniService de Radiologie B, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, 1, place de l'hôpital, BP 426, 67091, Strasbourg Cedex, France.
Vincent NobletiCube, Telecom Physique Strasbourg, Université de Strasbourg, CNRS UMR 7357, Illkirch, France.
François LefebvreDépartement de Biostatistiques, Hôpital Civil, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Paul MagotteauxGIE Radiologie, Institut Hospitalo-Universitaire, Institut de chirurgie guidée par l'image, Strasbourg, France.
Mickaël OhanaService de Radiologie B, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, 1, place de l'hôpital, BP 426, 67091, Strasbourg Cedex, France.
Catherine RoyService de Radiologie B, Nouvel Hôpital Civil, Hôpitaux Universitaires de Strasbourg, 1, place de l'hôpital, BP 426, 67091, Strasbourg Cedex, France.
Hôpitaux Universitaires de Strasbourg · FRCentre National de la Recherche Scientifique · FRInstitut de Chirurgie Guidée par l'Image · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the radiation dose exposure, image quality, and diagnostic performance of enhanced 100-kVp abdominopelvic single-energy CT protocol with tin filter (TF).

methodsNinety-three consecutive patients referred for a single-phase enhanced abdominopelvic CT were prospectively included after informed consent. They underwent in addition to a standard protocol (SP) an acquisition with TF. Both examinations were performed on a third-generation dual-source CT system (DSCT), in single energy, using automatic tube current modulation, identical pitch, and identical level of iterative reconstruction. Radiation metrics were compared. Size-specific dose estimates (SSDE), contrast to noise ratio (CNR), and figure of merit (FOM) were calculated. Diagnostic confidence for the assessment of a predetermined list of abdominal lesions was rated by two independent readers.

resultsThe mean dose of the TF protocol was significantly lower (CDTI 1.56 ± 0.43 mGy vs. 8.13 ± 3.32, p < 0.001; SSDE 9.94 ± 3.08 vs. 1.93 ± 0.39, p < 0.001), with an effective dose close to 1 mSv (1.14 mSv ± 0.34; p < 0.001). TF group exhibited non-significant lower liver CNR (2.76 vs. 3.03, p = 0.56) and was more dose efficient (FOM 10.6 vs. 2.49/mSv, p < 0.001) in comparison to SP. The mean diagnostic confidence for visceral, bone, and peritoneal tumors was equivalent between both groups.

conclusionsEnhanced 100-kVp abdominopelvic CT acquired after spectral shaping with tin filtration can achieve similar diagnostic performance and CNR compared to a standard CT protocol, while reducing the radiation dose by 81%. KEY POINTS: • 100-kVp spectral filtration enables enhanced abdominal CT with high-dose efficiency. • The radiation dose reaches the 1-mSv range. • Predetermined abdominopelvic lesions can be assessed without impairing on diagnostic confidence.

Indexed as

AbdomenAgedContrast MediaFemaleHumansLiverMaleMultidetector Computed TomographyProspective StudiesRadiation DosageRadiation ExposureReproducibility of ResultsContrast MediaAbdomenMultidetector computed tomographyRadiation dose

Identifiers

PMID30324392
OpenAlexW2897703911

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.